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<a href="_resize_layer_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">/*!</span></div>
<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment"> *</span></div>
<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment"> *</span></div>
<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment"> * \brief       Implements a model applying a convolution to an image</span></div>
<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment"> *</span></div>
<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span><span class="comment"> *</span></div>
<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="comment"> *</span></div>
<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="comment"> * \author    </span></div>
<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="comment"> * \date        2017</span></div>
<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="comment"> *</span></div>
<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="comment"> *</span></div>
<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="comment"> * \par Copyright 1995-2017 Shark Development Team</span></div>
<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span><span class="comment"> *</span></div>
<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span><span class="comment"> * &lt;BR&gt;&lt;HR&gt;</span></div>
<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span><span class="comment"> * This file is part of Shark.</span></div>
<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span><span class="comment"> * &lt;https://shark-ml.github.io/Shark/&gt;</span></div>
<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span><span class="comment"> *</span></div>
<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span><span class="comment"> * Shark is free software: you can redistribute it and/or modify</span></div>
<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span><span class="comment"> * it under the terms of the GNU Lesser General Public License as published</span></div>
<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span><span class="comment"> * by the Free Software Foundation, either version 3 of the License, or</span></div>
<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span><span class="comment"> * (at your option) any later version.</span></div>
<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span><span class="comment"> *</span></div>
<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span><span class="comment"> * Shark is distributed in the hope that it will be useful,</span></div>
<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span><span class="comment"> * but WITHOUT ANY WARRANTY; without even the implied warranty of</span></div>
<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span><span class="comment"> * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the</span></div>
<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span><span class="comment"> * GNU Lesser General Public License for more details.</span></div>
<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span><span class="comment"> *</span></div>
<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span><span class="comment"> * You should have received a copy of the GNU Lesser General Public License</span></div>
<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span><span class="comment"> * along with Shark.  If not, see &lt;http://www.gnu.org/licenses/&gt;.</span></div>
<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span><span class="comment"> *</span></div>
<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span><span class="comment"> */</span></div>
<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span><span class="preprocessor">#ifndef SHARK_MODELS_RESIZE_LAYER_H</span></div>
<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span><span class="preprocessor">#define SHARK_MODELS_RESIZE_LAYER_H</span></div>
<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span> </div>
<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span><span class="preprocessor">#include &lt;<a class="code" href="_abstract_model_8h.html">shark/Models/AbstractModel.h</a>&gt;</span></div>
<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span><span class="preprocessor">#include &lt;<a class="code" href="_interpolation_8h.html">shark/Core/Images/Interpolation.h</a>&gt;</span></div>
<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span><span class="preprocessor">#include &lt;<a class="code" href="device__copy_8hpp.html">shark/LinAlg/BLAS/device_copy.hpp</a>&gt;</span></div>
<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span><span class="keyword">namespace </span><a class="code hl_namespace" href="namespaceshark.html" title="AbstractMultiObjectiveOptimizer.">shark</a> {</div>
<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span> </div>
<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span> </div>
<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span>    </div>
<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span>    </div>
<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span>    </div>
<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span><span class="comment"></span> </div>
<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span><span class="comment">///</span></div>
<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span><span class="comment">/// \brief Resizes an input image to a given size</span></div>
<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span><span class="comment">///</span></div>
<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span><span class="comment">/// \par</span></div>
<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span><span class="comment">/// The image is resized using an interpolation algorithm which can be chosen by the user. Right now,</span></div>
<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span><span class="comment">/// only spline interpolation is supported. This will slightly smooth input images</span></div>
<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span><span class="comment">/// over a 4x4 grid. This also means that resizing to the same size is not an identity operation</span></div>
<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span><span class="comment">///</span></div>
<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span><span class="comment">/// The derivative of the model wrt its input images is available.</span></div>
<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span><span class="comment">///</span></div>
<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span><span class="comment">/// \ingroup models</span></div>
<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span><span class="comment"></span><span class="keyword">template</span> &lt;<span class="keyword">class</span> VectorType = RealVector&gt;</div>
<div class="foldopen" id="foldopen00057" data-start="{" data-end="};">
<div class="line"><a id="l00057" name="l00057"></a><span class="lineno"><a class="line" href="classshark_1_1_resize_layer.html">   57</a></span><span class="keyword">class </span><a class="code hl_class" href="classshark_1_1_resize_layer.html" title="Resizes an input image to a given size.">ResizeLayer</a> : <span class="keyword">public</span> <a class="code hl_class" href="classshark_1_1_abstract_model.html" title="Base class for all Models.">AbstractModel</a>&lt;VectorType,VectorType,VectorType&gt;{</div>
<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span><span class="keyword">private</span>:</div>
<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> VectorType::value_type value_type;</div>
<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> VectorType::device_type device_type;</div>
<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span>    <span class="keyword">typedef</span> blas::matrix&lt;value_type, blas::row_major, device_type&gt; MatrixType;</div>
<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span>    <span class="keyword">typedef</span> <a class="code hl_class" href="classshark_1_1_abstract_model.html" title="Base class for all Models.">AbstractModel&lt;VectorType,VectorType,VectorType&gt;</a> <a class="code hl_class" href="classshark_1_1_abstract_model.html">base_type</a>;</div>
<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span>    <span class="keyword">static_assert</span>(!std::is_same&lt;typename VectorType::storage_type::storage_tag, blas::dense_tag&gt;::value, <span class="stringliteral">&quot;Resizing not supported for sparse inputs&quot;</span>);</div>
<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span><span class="keyword">public</span>:</div>
<div class="line"><a id="l00065" name="l00065"></a><span class="lineno"><a class="line" href="classshark_1_1_resize_layer.html#a83d970b4538adad3aa095e08ca639c9e">   65</a></span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#aa0c72e230b9a1324c95ba8ac0b07ba13" title="defines the batch type of the output type">base_type::BatchOutputType</a> <a class="code hl_typedef" href="classshark_1_1_resize_layer.html#a83d970b4538adad3aa095e08ca639c9e">BatchOutputType</a>;</div>
<div class="line"><a id="l00066" name="l00066"></a><span class="lineno"><a class="line" href="classshark_1_1_resize_layer.html#a0cfbefe78f78e071d3b9db899b3c3f29">   66</a></span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#a518304e95092673b7b6438cace052ef6" title="defines the batch type of the input type.">base_type::BatchInputType</a> <a class="code hl_typedef" href="classshark_1_1_resize_layer.html#a0cfbefe78f78e071d3b9db899b3c3f29">BatchInputType</a>;</div>
<div class="line"><a id="l00067" name="l00067"></a><span class="lineno"><a class="line" href="classshark_1_1_resize_layer.html#a165db648b407275a7a9b2d870757c8ff">   67</a></span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code hl_typedef" href="classshark_1_1_i_parameterizable.html#a2ad5e2e60b2b352988b41f46024d790b">base_type::ParameterVectorType</a> <a class="code hl_typedef" href="classshark_1_1_resize_layer.html#a165db648b407275a7a9b2d870757c8ff">ParameterVectorType</a>;</div>
<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span><span class="comment"></span> </div>
<div class="line"><a id="l00069" name="l00069"></a><span class="lineno">   69</span><span class="comment">    /// Default Constructor; use setStructure later.</span></div>
<div class="foldopen" id="foldopen00070" data-start="{" data-end="}">
<div class="line"><a id="l00070" name="l00070"></a><span class="lineno"><a class="line" href="classshark_1_1_resize_layer.html#a05beadeb7f4aec71d513d624b9ca95be">   70</a></span><span class="comment"></span>    <a class="code hl_function" href="classshark_1_1_resize_layer.html#a05beadeb7f4aec71d513d624b9ca95be" title="Default Constructor; use setStructure later.">ResizeLayer</a>(){</div>
<div class="line"><a id="l00071" name="l00071"></a><span class="lineno">   71</span>        <a class="code hl_variable" href="classshark_1_1_abstract_model.html#a4c5a689901083e50007f53de72f694fc">base_type::m_features</a> |= <a class="code hl_enumvalue" href="classshark_1_1_abstract_model.html#a76a2d024b6013037b072596fe4f9f829a89a819e2614f818baa23c5c8fdd4393d">base_type::HAS_FIRST_PARAMETER_DERIVATIVE</a>;</div>
<div class="line"><a id="l00072" name="l00072"></a><span class="lineno">   72</span>        <a class="code hl_variable" href="classshark_1_1_abstract_model.html#a4c5a689901083e50007f53de72f694fc">base_type::m_features</a> |= <a class="code hl_enumvalue" href="classshark_1_1_abstract_model.html#a76a2d024b6013037b072596fe4f9f829a82b5c22e1b95f20aff01b4b39e86c607">base_type::HAS_FIRST_INPUT_DERIVATIVE</a>;</div>
<div class="line"><a id="l00073" name="l00073"></a><span class="lineno">   73</span>    }</div>
</div>
<div class="line"><a id="l00074" name="l00074"></a><span class="lineno">   74</span>    <span class="comment"></span></div>
<div class="line"><a id="l00075" name="l00075"></a><span class="lineno">   75</span><span class="comment">    ///\brief Configures the model.</span></div>
<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span><span class="comment">    /// \arg inputShape Shape of the image imHeight x imWidth x channel</span></div>
<div class="line"><a id="l00078" name="l00078"></a><span class="lineno">   78</span><span class="comment">    /// \arg outputShape Shape of the resized output imHeight x imWidth</span></div>
<div class="line"><a id="l00079" name="l00079"></a><span class="lineno">   79</span><span class="comment">    /// \arg type Type of interpolation to perform, default is Spline-Interpolation</span></div>
<div class="foldopen" id="foldopen00080" data-start="{" data-end="}">
<div class="line"><a id="l00080" name="l00080"></a><span class="lineno"><a class="line" href="classshark_1_1_resize_layer.html#a76c3b0f7b0fbe80c02e43ad1990ce737">   80</a></span><span class="comment"></span>    <a class="code hl_function" href="classshark_1_1_resize_layer.html#a76c3b0f7b0fbe80c02e43ad1990ce737" title="Configures the model.">ResizeLayer</a>(</div>
<div class="line"><a id="l00081" name="l00081"></a><span class="lineno">   81</span>        <a class="code hl_class" href="classshark_1_1_shape.html" title="Represents the Shape of an input or output.">Shape</a> <span class="keyword">const</span>&amp; <a class="code hl_function" href="classshark_1_1_resize_layer.html#a66576bbb87bfcc6bdb701e7f1cccc5b5" title="Returns the expected shape of the input.">inputShape</a>, <a class="code hl_class" href="classshark_1_1_shape.html" title="Represents the Shape of an input or output.">Shape</a> <span class="keyword">const</span>&amp; <a class="code hl_function" href="classshark_1_1_resize_layer.html#ae43eb5d812fd6d8cfa09404779c90973" title="Returns the shape of the output.">outputShape</a>, <a class="code hl_enumeration" href="namespaceshark.html#a2dfa4aef4918dec16157e690d4cd9573">Interpolation</a> type = <a class="code hl_enumvalue" href="namespaceshark.html#a2dfa4aef4918dec16157e690d4cd9573a4cff6afc4963881749f7742fbb4d1392">Interpolation::Spline</a></div>
<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span>    ){</div>
<div class="line"><a id="l00083" name="l00083"></a><span class="lineno">   83</span>        <a class="code hl_variable" href="classshark_1_1_abstract_model.html#a4c5a689901083e50007f53de72f694fc">base_type::m_features</a> |= <a class="code hl_enumvalue" href="classshark_1_1_abstract_model.html#a76a2d024b6013037b072596fe4f9f829a89a819e2614f818baa23c5c8fdd4393d">base_type::HAS_FIRST_PARAMETER_DERIVATIVE</a>;</div>
<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span>        <a class="code hl_variable" href="classshark_1_1_abstract_model.html#a4c5a689901083e50007f53de72f694fc">base_type::m_features</a> |= <a class="code hl_enumvalue" href="classshark_1_1_abstract_model.html#a76a2d024b6013037b072596fe4f9f829a82b5c22e1b95f20aff01b4b39e86c607">base_type::HAS_FIRST_INPUT_DERIVATIVE</a>;</div>
<div class="line"><a id="l00085" name="l00085"></a><span class="lineno">   85</span>        <a class="code hl_function" href="classshark_1_1_resize_layer.html#afffd6a3b962c11a7500180f4550ae42d" title="Configures the model.">setStructure</a>(<a class="code hl_function" href="classshark_1_1_resize_layer.html#a66576bbb87bfcc6bdb701e7f1cccc5b5" title="Returns the expected shape of the input.">inputShape</a>, <a class="code hl_function" href="classshark_1_1_resize_layer.html#ae43eb5d812fd6d8cfa09404779c90973" title="Returns the shape of the output.">outputShape</a>, type);</div>
<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span>    }</div>
</div>
<div class="line"><a id="l00087" name="l00087"></a><span class="lineno">   87</span> </div>
<div class="foldopen" id="foldopen00088" data-start="{" data-end="}">
<div class="line"><a id="l00088" name="l00088"></a><span class="lineno"><a class="line" href="classshark_1_1_resize_layer.html#aea826ee3fef39378ae5d73850de34850">   88</a></span>    std::string <a class="code hl_function" href="classshark_1_1_resize_layer.html#aea826ee3fef39378ae5d73850de34850" title="returns the name of the object">name</a>()<span class="keyword"> const</span></div>
<div class="line"><a id="l00089" name="l00089"></a><span class="lineno">   89</span><span class="keyword">    </span>{ <span class="keywordflow">return</span> <span class="stringliteral">&quot;ResizeLayer&quot;</span>; }</div>
</div>
<div class="line"><a id="l00090" name="l00090"></a><span class="lineno">   90</span>    <span class="comment"></span></div>
<div class="line"><a id="l00091" name="l00091"></a><span class="lineno">   91</span><span class="comment">    ///\brief Returns the expected shape of the input</span></div>
<div class="foldopen" id="foldopen00092" data-start="{" data-end="}">
<div class="line"><a id="l00092" name="l00092"></a><span class="lineno"><a class="line" href="classshark_1_1_resize_layer.html#a66576bbb87bfcc6bdb701e7f1cccc5b5">   92</a></span><span class="comment"></span>    <a class="code hl_class" href="classshark_1_1_shape.html" title="Represents the Shape of an input or output.">Shape</a> <a class="code hl_function" href="classshark_1_1_resize_layer.html#a66576bbb87bfcc6bdb701e7f1cccc5b5" title="Returns the expected shape of the input.">inputShape</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00093" name="l00093"></a><span class="lineno">   93</span>        <span class="keywordflow">return</span> m_inputShape;</div>
<div class="line"><a id="l00094" name="l00094"></a><span class="lineno">   94</span>    }<span class="comment"></span></div>
</div>
<div class="line"><a id="l00095" name="l00095"></a><span class="lineno">   95</span><span class="comment">    ///\brief Returns the shape of the output</span></div>
<div class="foldopen" id="foldopen00096" data-start="{" data-end="}">
<div class="line"><a id="l00096" name="l00096"></a><span class="lineno"><a class="line" href="classshark_1_1_resize_layer.html#ae43eb5d812fd6d8cfa09404779c90973">   96</a></span><span class="comment"></span>    <a class="code hl_class" href="classshark_1_1_shape.html" title="Represents the Shape of an input or output.">Shape</a> <a class="code hl_function" href="classshark_1_1_resize_layer.html#ae43eb5d812fd6d8cfa09404779c90973" title="Returns the shape of the output.">outputShape</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00097" name="l00097"></a><span class="lineno">   97</span>        <span class="keywordflow">return</span> m_outputShape;</div>
<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span>    }</div>
</div>
<div class="line"><a id="l00099" name="l00099"></a><span class="lineno">   99</span>    <span class="comment"></span></div>
<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span><span class="comment">    /// \brief Obtain the parameter vector.</span></div>
<div class="foldopen" id="foldopen00101" data-start="{" data-end="}">
<div class="line"><a id="l00101" name="l00101"></a><span class="lineno"><a class="line" href="classshark_1_1_resize_layer.html#aa5ceb0d72cba7461594d9dd2f6642a1a">  101</a></span><span class="comment"></span>    <a class="code hl_typedef" href="classshark_1_1_resize_layer.html#a165db648b407275a7a9b2d870757c8ff">ParameterVectorType</a> <a class="code hl_function" href="classshark_1_1_resize_layer.html#aa5ceb0d72cba7461594d9dd2f6642a1a" title="Obtain the parameter vector.">parameterVector</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00102" name="l00102"></a><span class="lineno">  102</span>        <span class="keywordflow">return</span> <a class="code hl_typedef" href="classshark_1_1_resize_layer.html#a165db648b407275a7a9b2d870757c8ff">ParameterVectorType</a>();</div>
<div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span>    }</div>
</div>
<div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span><span class="comment"></span> </div>
<div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span><span class="comment">    /// \brief Set the new parameters of the model.</span></div>
<div class="line"><a id="l00106" name="l00106"></a><span class="lineno"><a class="line" href="classshark_1_1_resize_layer.html#a9ea41f7fa3024defb23ce0199c4a99f9">  106</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_resize_layer.html#a9ea41f7fa3024defb23ce0199c4a99f9" title="Set the new parameters of the model.">setParameterVector</a>(<a class="code hl_typedef" href="classshark_1_1_resize_layer.html#a165db648b407275a7a9b2d870757c8ff">ParameterVectorType</a> <span class="keyword">const</span>&amp; newParameters){}</div>
<div class="line"><a id="l00107" name="l00107"></a><span class="lineno">  107</span><span class="comment"></span> </div>
<div class="line"><a id="l00108" name="l00108"></a><span class="lineno">  108</span><span class="comment">    /// \brief Return the number of parameters.</span></div>
<div class="foldopen" id="foldopen00109" data-start="{" data-end="}">
<div class="line"><a id="l00109" name="l00109"></a><span class="lineno"><a class="line" href="classshark_1_1_resize_layer.html#a6918d49bd4beb58f02ae8c31ce7a6df0">  109</a></span><span class="comment"></span>    <span class="keywordtype">size_t</span> <a class="code hl_function" href="classshark_1_1_resize_layer.html#a6918d49bd4beb58f02ae8c31ce7a6df0" title="Return the number of parameters.">numberOfParameters</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00110" name="l00110"></a><span class="lineno">  110</span>        <span class="keywordflow">return</span> 0;</div>
<div class="line"><a id="l00111" name="l00111"></a><span class="lineno">  111</span>    }</div>
</div>
<div class="line"><a id="l00112" name="l00112"></a><span class="lineno">  112</span><span class="comment"></span> </div>
<div class="line"><a id="l00113" name="l00113"></a><span class="lineno">  113</span><span class="comment">    ///\brief Configures the model.</span></div>
<div class="line"><a id="l00114" name="l00114"></a><span class="lineno">  114</span><span class="comment">    ///</span></div>
<div class="line"><a id="l00115" name="l00115"></a><span class="lineno">  115</span><span class="comment">    /// \arg inputShape Shape of the image imHeight x imWidth x channel</span></div>
<div class="line"><a id="l00116" name="l00116"></a><span class="lineno">  116</span><span class="comment">    /// \arg outputShape Shape of the resized output imHeight x imWidth</span></div>
<div class="line"><a id="l00117" name="l00117"></a><span class="lineno">  117</span><span class="comment">    /// \arg type Type of interpolation to perform, default is Spline-Interpolation</span></div>
<div class="foldopen" id="foldopen00118" data-start="{" data-end="}">
<div class="line"><a id="l00118" name="l00118"></a><span class="lineno"><a class="line" href="classshark_1_1_resize_layer.html#afffd6a3b962c11a7500180f4550ae42d">  118</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_resize_layer.html#afffd6a3b962c11a7500180f4550ae42d" title="Configures the model.">setStructure</a>(</div>
<div class="line"><a id="l00119" name="l00119"></a><span class="lineno">  119</span>        <a class="code hl_class" href="classshark_1_1_shape.html" title="Represents the Shape of an input or output.">Shape</a> <span class="keyword">const</span>&amp; <a class="code hl_function" href="classshark_1_1_resize_layer.html#a66576bbb87bfcc6bdb701e7f1cccc5b5" title="Returns the expected shape of the input.">inputShape</a>, <a class="code hl_class" href="classshark_1_1_shape.html" title="Represents the Shape of an input or output.">Shape</a> <span class="keyword">const</span>&amp; <a class="code hl_function" href="classshark_1_1_resize_layer.html#ae43eb5d812fd6d8cfa09404779c90973" title="Returns the shape of the output.">outputShape</a>, <a class="code hl_enumeration" href="namespaceshark.html#a2dfa4aef4918dec16157e690d4cd9573">Interpolation</a> type = <a class="code hl_enumvalue" href="namespaceshark.html#a2dfa4aef4918dec16157e690d4cd9573a4cff6afc4963881749f7742fbb4d1392">Interpolation::Spline</a></div>
<div class="line"><a id="l00120" name="l00120"></a><span class="lineno">  120</span>    ){</div>
<div class="line"><a id="l00121" name="l00121"></a><span class="lineno">  121</span>        m_type = type;</div>
<div class="line"><a id="l00122" name="l00122"></a><span class="lineno">  122</span>        m_inputShape = <a class="code hl_function" href="classshark_1_1_resize_layer.html#a66576bbb87bfcc6bdb701e7f1cccc5b5" title="Returns the expected shape of the input.">inputShape</a>;</div>
<div class="line"><a id="l00123" name="l00123"></a><span class="lineno">  123</span>        m_outputShape = {<a class="code hl_function" href="classshark_1_1_resize_layer.html#ae43eb5d812fd6d8cfa09404779c90973" title="Returns the shape of the output.">outputShape</a>[0], <a class="code hl_function" href="classshark_1_1_resize_layer.html#ae43eb5d812fd6d8cfa09404779c90973" title="Returns the shape of the output.">outputShape</a>[1], <a class="code hl_function" href="classshark_1_1_resize_layer.html#a66576bbb87bfcc6bdb701e7f1cccc5b5" title="Returns the expected shape of the input.">inputShape</a>[2]};</div>
<div class="line"><a id="l00124" name="l00124"></a><span class="lineno">  124</span>        <span class="comment">//compute pixel coordinates by evenly spreading them out on the image</span></div>
<div class="line"><a id="l00125" name="l00125"></a><span class="lineno">  125</span>        blas::matrix&lt;value_type&gt; points(<a class="code hl_function" href="classshark_1_1_resize_layer.html#ae43eb5d812fd6d8cfa09404779c90973" title="Returns the shape of the output.">outputShape</a>[0] * <a class="code hl_function" href="classshark_1_1_resize_layer.html#ae43eb5d812fd6d8cfa09404779c90973" title="Returns the shape of the output.">outputShape</a>[1], 2);</div>
<div class="line"><a id="l00126" name="l00126"></a><span class="lineno">  126</span>        <span class="keywordflow">for</span>(std::size_t i = 0; i != <a class="code hl_function" href="classshark_1_1_resize_layer.html#ae43eb5d812fd6d8cfa09404779c90973" title="Returns the shape of the output.">outputShape</a>[1]; ++i){</div>
<div class="line"><a id="l00127" name="l00127"></a><span class="lineno">  127</span>            <span class="keywordflow">for</span>(std::size_t j = 0; j != <a class="code hl_function" href="classshark_1_1_resize_layer.html#ae43eb5d812fd6d8cfa09404779c90973" title="Returns the shape of the output.">outputShape</a>[0]; ++j){</div>
<div class="line"><a id="l00128" name="l00128"></a><span class="lineno">  128</span>                points(i * <a class="code hl_function" href="classshark_1_1_resize_layer.html#ae43eb5d812fd6d8cfa09404779c90973" title="Returns the shape of the output.">outputShape</a>[0] +j, 0) = value_type(i) / <a class="code hl_function" href="classshark_1_1_resize_layer.html#ae43eb5d812fd6d8cfa09404779c90973" title="Returns the shape of the output.">outputShape</a>[1];</div>
<div class="line"><a id="l00129" name="l00129"></a><span class="lineno">  129</span>                points(i * <a class="code hl_function" href="classshark_1_1_resize_layer.html#ae43eb5d812fd6d8cfa09404779c90973" title="Returns the shape of the output.">outputShape</a>[0] +j, 1) = value_type(j) / <a class="code hl_function" href="classshark_1_1_resize_layer.html#ae43eb5d812fd6d8cfa09404779c90973" title="Returns the shape of the output.">outputShape</a>[0];</div>
<div class="line"><a id="l00130" name="l00130"></a><span class="lineno">  130</span>            }</div>
<div class="line"><a id="l00131" name="l00131"></a><span class="lineno">  131</span>        }</div>
<div class="line"><a id="l00132" name="l00132"></a><span class="lineno">  132</span>        </div>
<div class="line"><a id="l00133" name="l00133"></a><span class="lineno">  133</span>        m_points = copy_to_device(points, device_type());</div>
<div class="line"><a id="l00134" name="l00134"></a><span class="lineno">  134</span>    }</div>
</div>
<div class="line"><a id="l00135" name="l00135"></a><span class="lineno">  135</span> </div>
<div class="foldopen" id="foldopen00136" data-start="{" data-end="}">
<div class="line"><a id="l00136" name="l00136"></a><span class="lineno"><a class="line" href="classshark_1_1_resize_layer.html#a997263b15ab2384f4d2b3006caf32211">  136</a></span>    boost::shared_ptr&lt;State&gt; <a class="code hl_function" href="classshark_1_1_resize_layer.html#a997263b15ab2384f4d2b3006caf32211" title="Creates an internal state of the model.">createState</a>()<span class="keyword">const</span>{</div>
<div class="line"><a id="l00137" name="l00137"></a><span class="lineno">  137</span>        <span class="keywordflow">return</span> boost::shared_ptr&lt;State&gt;(<span class="keyword">new</span> <a class="code hl_struct" href="structshark_1_1_empty_state.html" title="Default State of an Object which does not need a State.">EmptyState</a>());</div>
<div class="line"><a id="l00138" name="l00138"></a><span class="lineno">  138</span>    }</div>
</div>
<div class="line"><a id="l00139" name="l00139"></a><span class="lineno">  139</span> </div>
<div class="line"><a id="l00140" name="l00140"></a><span class="lineno">  140</span>    <span class="keyword">using </span><a class="code hl_function" href="classshark_1_1_abstract_model.html#ac7edef74da55322b6aef0ba65b08592d" title="Standard interface for evaluating the response of the model to a batch of patterns.">base_type::eval</a>;</div>
<div class="line"><a id="l00141" name="l00141"></a><span class="lineno">  141</span><span class="comment"></span> </div>
<div class="line"><a id="l00142" name="l00142"></a><span class="lineno">  142</span><span class="comment">    /// Evaluate the model</span></div>
<div class="foldopen" id="foldopen00143" data-start="{" data-end="}">
<div class="line"><a id="l00143" name="l00143"></a><span class="lineno"><a class="line" href="classshark_1_1_resize_layer.html#a422e9b8b2a8b3d8c96e88ae413828faa">  143</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_resize_layer.html#a422e9b8b2a8b3d8c96e88ae413828faa" title="Evaluate the model.">eval</a>(<a class="code hl_typedef" href="classshark_1_1_resize_layer.html#a0cfbefe78f78e071d3b9db899b3c3f29">BatchInputType</a> <span class="keyword">const</span>&amp; inputs, <a class="code hl_typedef" href="classshark_1_1_resize_layer.html#a83d970b4538adad3aa095e08ca639c9e">BatchOutputType</a>&amp; outputs, <a class="code hl_struct" href="structshark_1_1_state.html" title="Represents the State of an Object.">State</a>&amp;)<span class="keyword">const</span>{</div>
<div class="line"><a id="l00144" name="l00144"></a><span class="lineno">  144</span>        <a class="code hl_define" href="_exception_8h.html#a42a6a50e4d06c00d60fbca5333f40768">SIZE_CHECK</a>(inputs.size2() == m_inputShape.<a class="code hl_function" href="classshark_1_1_shape.html#ad36fc62c674b01150cc5addab9dcc38d">numElements</a>());</div>
<div class="line"><a id="l00145" name="l00145"></a><span class="lineno">  145</span>        outputs.resize(inputs.size1(), m_outputShape.<a class="code hl_function" href="classshark_1_1_shape.html#ad36fc62c674b01150cc5addab9dcc38d">numElements</a>());</div>
<div class="line"><a id="l00146" name="l00146"></a><span class="lineno">  146</span>        imageInterpolate2D&lt;value_type, device_type&gt;(</div>
<div class="line"><a id="l00147" name="l00147"></a><span class="lineno">  147</span>            inputs, m_inputShape, m_type,</div>
<div class="line"><a id="l00148" name="l00148"></a><span class="lineno">  148</span>            m_points, m_points.size1(),</div>
<div class="line"><a id="l00149" name="l00149"></a><span class="lineno">  149</span>            outputs</div>
<div class="line"><a id="l00150" name="l00150"></a><span class="lineno">  150</span>        );</div>
<div class="line"><a id="l00151" name="l00151"></a><span class="lineno">  151</span>    }</div>
</div>
<div class="line"><a id="l00152" name="l00152"></a><span class="lineno">  152</span><span class="comment"></span> </div>
<div class="line"><a id="l00153" name="l00153"></a><span class="lineno">  153</span><span class="comment">    ///\brief Calculates the first derivative w.r.t the parameters and summing them up over all inputs of the last computed batch</span></div>
<div class="foldopen" id="foldopen00154" data-start="{" data-end="}">
<div class="line"><a id="l00154" name="l00154"></a><span class="lineno"><a class="line" href="classshark_1_1_resize_layer.html#aaafcc82e666ef955a86f1ddd4510f81f">  154</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_resize_layer.html#aaafcc82e666ef955a86f1ddd4510f81f" title="Calculates the first derivative w.r.t the parameters and summing them up over all inputs of the last ...">weightedParameterDerivative</a>(</div>
<div class="line"><a id="l00155" name="l00155"></a><span class="lineno">  155</span>        <a class="code hl_typedef" href="classshark_1_1_resize_layer.html#a0cfbefe78f78e071d3b9db899b3c3f29">BatchInputType</a> <span class="keyword">const</span>&amp; inputs,</div>
<div class="line"><a id="l00156" name="l00156"></a><span class="lineno">  156</span>        <a class="code hl_typedef" href="classshark_1_1_resize_layer.html#a83d970b4538adad3aa095e08ca639c9e">BatchOutputType</a> <span class="keyword">const</span>&amp; outputs,</div>
<div class="line"><a id="l00157" name="l00157"></a><span class="lineno">  157</span>        <a class="code hl_typedef" href="classshark_1_1_resize_layer.html#a83d970b4538adad3aa095e08ca639c9e">BatchOutputType</a> <span class="keyword">const</span>&amp; coefficients,</div>
<div class="line"><a id="l00158" name="l00158"></a><span class="lineno">  158</span>        <a class="code hl_struct" href="structshark_1_1_state.html" title="Represents the State of an Object.">State</a> <span class="keyword">const</span>&amp; state,</div>
<div class="line"><a id="l00159" name="l00159"></a><span class="lineno">  159</span>        <a class="code hl_typedef" href="classshark_1_1_resize_layer.html#a165db648b407275a7a9b2d870757c8ff">ParameterVectorType</a>&amp; gradient</div>
<div class="line"><a id="l00160" name="l00160"></a><span class="lineno">  160</span>    )<span class="keyword">const</span>{}<span class="comment"></span></div>
</div>
<div class="line"><a id="l00161" name="l00161"></a><span class="lineno">  161</span><span class="comment">    ///\brief Calculates the first derivative w.r.t the inputs and summs them up over all inputs of the last computed batch</span></div>
<div class="foldopen" id="foldopen00162" data-start="{" data-end="}">
<div class="line"><a id="l00162" name="l00162"></a><span class="lineno"><a class="line" href="classshark_1_1_resize_layer.html#ac7e74232d7382fa6040bb3c3b86a30d9">  162</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_resize_layer.html#ac7e74232d7382fa6040bb3c3b86a30d9" title="Calculates the first derivative w.r.t the inputs and summs them up over all inputs of the last comput...">weightedInputDerivative</a>(</div>
<div class="line"><a id="l00163" name="l00163"></a><span class="lineno">  163</span>        <a class="code hl_typedef" href="classshark_1_1_resize_layer.html#a0cfbefe78f78e071d3b9db899b3c3f29">BatchInputType</a> <span class="keyword">const</span> &amp; inputs,</div>
<div class="line"><a id="l00164" name="l00164"></a><span class="lineno">  164</span>        <a class="code hl_typedef" href="classshark_1_1_resize_layer.html#a83d970b4538adad3aa095e08ca639c9e">BatchOutputType</a> <span class="keyword">const</span>&amp; outputs,</div>
<div class="line"><a id="l00165" name="l00165"></a><span class="lineno">  165</span>        <a class="code hl_typedef" href="classshark_1_1_resize_layer.html#a83d970b4538adad3aa095e08ca639c9e">BatchOutputType</a> <span class="keyword">const</span> &amp; coefficients,</div>
<div class="line"><a id="l00166" name="l00166"></a><span class="lineno">  166</span>        <a class="code hl_struct" href="structshark_1_1_state.html" title="Represents the State of an Object.">State</a> <span class="keyword">const</span>&amp; state,</div>
<div class="line"><a id="l00167" name="l00167"></a><span class="lineno">  167</span>        <a class="code hl_typedef" href="classshark_1_1_resize_layer.html#a0cfbefe78f78e071d3b9db899b3c3f29">BatchInputType</a>&amp; derivatives</div>
<div class="line"><a id="l00168" name="l00168"></a><span class="lineno">  168</span>    )<span class="keyword">const</span>{</div>
<div class="line"><a id="l00169" name="l00169"></a><span class="lineno">  169</span>        <a class="code hl_define" href="_exception_8h.html#a42a6a50e4d06c00d60fbca5333f40768">SIZE_CHECK</a>(inputs.size2() == m_inputShape.<a class="code hl_function" href="classshark_1_1_shape.html#ad36fc62c674b01150cc5addab9dcc38d">numElements</a>());</div>
<div class="line"><a id="l00170" name="l00170"></a><span class="lineno">  170</span>        <a class="code hl_define" href="_exception_8h.html#a42a6a50e4d06c00d60fbca5333f40768">SIZE_CHECK</a>(outputs.size2() == m_outputShape.<a class="code hl_function" href="classshark_1_1_shape.html#ad36fc62c674b01150cc5addab9dcc38d">numElements</a>());</div>
<div class="line"><a id="l00171" name="l00171"></a><span class="lineno">  171</span>        <a class="code hl_define" href="_exception_8h.html#a42a6a50e4d06c00d60fbca5333f40768">SIZE_CHECK</a>(coefficients.size2() == outputs.size2());</div>
<div class="line"><a id="l00172" name="l00172"></a><span class="lineno">  172</span>        <a class="code hl_define" href="_exception_8h.html#a42a6a50e4d06c00d60fbca5333f40768">SIZE_CHECK</a>(coefficients.size1() == inputs.size1());</div>
<div class="line"><a id="l00173" name="l00173"></a><span class="lineno">  173</span>        <a class="code hl_define" href="_exception_8h.html#a42a6a50e4d06c00d60fbca5333f40768">SIZE_CHECK</a>(outputs.size1() == inputs.size1());</div>
<div class="line"><a id="l00174" name="l00174"></a><span class="lineno">  174</span>        </div>
<div class="line"><a id="l00175" name="l00175"></a><span class="lineno">  175</span>        derivatives.resize(inputs.size1(), m_inputShape.<a class="code hl_function" href="classshark_1_1_shape.html#ad36fc62c674b01150cc5addab9dcc38d">numElements</a>());</div>
<div class="line"><a id="l00176" name="l00176"></a><span class="lineno">  176</span>        weightedImageInterpolate2DDerivative&lt;value_type, device_type&gt;(</div>
<div class="line"><a id="l00177" name="l00177"></a><span class="lineno">  177</span>            inputs, m_inputShape, m_type,</div>
<div class="line"><a id="l00178" name="l00178"></a><span class="lineno">  178</span>            coefficients,</div>
<div class="line"><a id="l00179" name="l00179"></a><span class="lineno">  179</span>            m_points, m_points.size1(),</div>
<div class="line"><a id="l00180" name="l00180"></a><span class="lineno">  180</span>            derivatives</div>
<div class="line"><a id="l00181" name="l00181"></a><span class="lineno">  181</span>        );</div>
<div class="line"><a id="l00182" name="l00182"></a><span class="lineno">  182</span>    }</div>
</div>
<div class="line"><a id="l00183" name="l00183"></a><span class="lineno">  183</span><span class="comment"></span> </div>
<div class="line"><a id="l00184" name="l00184"></a><span class="lineno">  184</span><span class="comment">    /// From ISerializable</span></div>
<div class="foldopen" id="foldopen00185" data-start="{" data-end="}">
<div class="line"><a id="l00185" name="l00185"></a><span class="lineno"><a class="line" href="classshark_1_1_resize_layer.html#a11d506d07029226e1436c78e3ee75df7">  185</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_resize_layer.html#a11d506d07029226e1436c78e3ee75df7" title="From ISerializable.">read</a>(<a class="code hl_typedef" href="namespaceshark.html#ada68729491840669e47c8ad42282424f" title="Type of an archive to read from.">InArchive</a>&amp; archive){</div>
<div class="line"><a id="l00186" name="l00186"></a><span class="lineno">  186</span>        archive &gt;&gt; m_points;</div>
<div class="line"><a id="l00187" name="l00187"></a><span class="lineno">  187</span>        archive &gt;&gt; (<span class="keywordtype">int</span>&amp;)m_type;</div>
<div class="line"><a id="l00188" name="l00188"></a><span class="lineno">  188</span>        archive &gt;&gt; m_inputShape;</div>
<div class="line"><a id="l00189" name="l00189"></a><span class="lineno">  189</span>        archive &gt;&gt; m_outputShape;</div>
<div class="line"><a id="l00190" name="l00190"></a><span class="lineno">  190</span>    }<span class="comment"></span></div>
</div>
<div class="line"><a id="l00191" name="l00191"></a><span class="lineno">  191</span><span class="comment">    /// From ISerializable</span></div>
<div class="foldopen" id="foldopen00192" data-start="{" data-end="}">
<div class="line"><a id="l00192" name="l00192"></a><span class="lineno"><a class="line" href="classshark_1_1_resize_layer.html#ad2d44978e71a8e9181d4204bf2b6bdce">  192</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_resize_layer.html#ad2d44978e71a8e9181d4204bf2b6bdce" title="From ISerializable.">write</a>(<a class="code hl_typedef" href="namespaceshark.html#af4f8eb8e9618f5236b71bbcb12b8a524" title="Type of an archive to write to.">OutArchive</a>&amp; archive)<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00193" name="l00193"></a><span class="lineno">  193</span>        archive &lt;&lt; m_points;</div>
<div class="line"><a id="l00194" name="l00194"></a><span class="lineno">  194</span>        archive &lt;&lt; (<span class="keywordtype">int</span>&amp;)m_type;</div>
<div class="line"><a id="l00195" name="l00195"></a><span class="lineno">  195</span>        archive &lt;&lt; m_inputShape;</div>
<div class="line"><a id="l00196" name="l00196"></a><span class="lineno">  196</span>        archive &lt;&lt; m_outputShape;</div>
<div class="line"><a id="l00197" name="l00197"></a><span class="lineno">  197</span>    }</div>
</div>
<div class="line"><a id="l00198" name="l00198"></a><span class="lineno">  198</span>    </div>
<div class="line"><a id="l00199" name="l00199"></a><span class="lineno">  199</span><span class="keyword">private</span>:</div>
<div class="line"><a id="l00200" name="l00200"></a><span class="lineno">  200</span>    <a class="code hl_enumeration" href="namespaceshark.html#a2dfa4aef4918dec16157e690d4cd9573">Interpolation</a> m_type;</div>
<div class="line"><a id="l00201" name="l00201"></a><span class="lineno">  201</span>    <a class="code hl_typedef" href="_mc_svm_linear_8cpp.html#a88ab98d46276376a56c2a396842cd58e">MatrixType</a> m_points;</div>
<div class="line"><a id="l00202" name="l00202"></a><span class="lineno">  202</span>    <a class="code hl_class" href="classshark_1_1_shape.html" title="Represents the Shape of an input or output.">Shape</a> m_inputShape;</div>
<div class="line"><a id="l00203" name="l00203"></a><span class="lineno">  203</span>    <a class="code hl_class" href="classshark_1_1_shape.html" title="Represents the Shape of an input or output.">Shape</a> m_outputShape;</div>
<div class="line"><a id="l00204" name="l00204"></a><span class="lineno">  204</span>};</div>
</div>
<div class="line"><a id="l00205" name="l00205"></a><span class="lineno">  205</span> </div>
<div class="line"><a id="l00206" name="l00206"></a><span class="lineno">  206</span> </div>
<div class="line"><a id="l00207" name="l00207"></a><span class="lineno">  207</span>}</div>
<div class="line"><a id="l00208" name="l00208"></a><span class="lineno">  208</span><span class="preprocessor">#endif</span></div>
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